Evidence map›Paper›PMID 37259451›Full record

ArticlePharmaceuticals (Basel, Switzerland)2023

Coupling of NIR Spectroscopy and Chemometrics for the Quantification of Dexamethasone in Pharmaceutical Formulations.

Alessandra Biancolillo, Claudia Scappaticci, Martina Foschi, Claudia Rossini, Federico Marini

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Recent applications of near infrared to pharmaceutical process monitoring and quality control.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alessandra BiancolilloDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio snc, Coppito, 67100 L'Aquila, Italy.ORCID 0000-0002-9461-9597
Claudia ScappaticciDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio snc, Coppito, 67100 L'Aquila, Italy.
Martina FoschiDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio snc, Coppito, 67100 L'Aquila, Italy.ORCID 0000-0002-7398-5221
Claudia RossiniDepartment of Chemistry, University of Rome "La Sapienza", Piazzale Aldo Moro 5, 00185 Rome, Italy.
Federico MariniDepartment of Chemistry, University of Rome "La Sapienza", Piazzale Aldo Moro 5, 00185 Rome, Italy.ORCID 0000-0001-8266-1117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Counterfeit or substandard drugs are pharmaceutical formulations in which the active pharmaceutical ingredients (APIs) have been replaced or ingredients do not comply with the drug leaflet. With the outbreak of the COVID-19 pandemic, fraud associated with the preparation of substandard or counterfeit drugs is expected to grow, undermining health systems already weakened by the state of emergency. Analytical chemistry plays a key role in tackling this problem, and in implementing strategies that permit the recognition of uncompliant drugs. In light of this, the present work represents a feasibility study for the development of a NIR-based tool for the quantification of dexamethasone in mixtures of excipients (starch and lactose). Two different regression strategies were tested. The first, based on the coupling of NIR spectra and Partial Least Squares (PLS) provided good results (root mean square error in prediction (RMSEP) of 720 mg/kg), but the most accurate was the second, a strategy exploiting sequential preprocessing through orthogonalization (SPORT), which led (on the external set of mixtures) to an R

Indexed as

active pharmaceutical ingredients quantificationcounterfeit drugsCOVID-19dexamethasonedexamethasone/lactose/starch mixturesnear infrared (NIR) spectroscopypartial least squares (PLS)regressionsequential preprocessing through orthogonalization (SPORT)substandard drugs

Identifiers

PMID37259451
PMCPMC9961082

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.